10 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Asynchronous Heterogeneous Linear Quadratic Regulator Design
Leonardo F. Toso, Han Wang, James Anderson
We address the problem of designing an LQR controller in a distributed setting, where M similar but not identical systems share their locally computed policy gradient (PG) estimate…
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR
Leonardo F. Toso, Donglin Zhan, James Anderson +1
We investigate the problem of learning linear quadratic regulators (LQR) in a multi-task, heterogeneous, and model-free setting. We characterize the stability and personalization g…
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
Leonardo F. Toso, Han Wang, James Anderson
We investigate the problem of learning an -approximate solution for the discrete-time Linear Quadratic Regulator (LQR) problem via a Stochastic Variance-Reduced Policy Gradient…